Expleo Group | Embedded Systems Engineer

Expleo Group

Uttoxeter

1 year ago

Applications closed

Related Jobs

View all jobs

Data Analyst

Are you currently looking for a new career opportunity within Embedded Systems? If so, Expleo have the opportunity for you!

Expleo are recruiting on behalf of our prestige automotive focused client based in Staffordshire for an Embedded Systems Engineer. This contract position, available inside or outside IR35, will initially be offered for a duration of 6 months.

Responsibilities of the Embedded Systems Engineer will include:
* Translate customer requirements into clear deliverables.
* Develop Simulink model-based applications.
* Select hardware platforms with consideration for environment and cost.
* Ensure ECU communication protocols (SAE J1939, Ethernet) are robust.
* Adhere to industry standard development techniques like the V Model.
* Support risk assessments and various analysis methods (FMEA, 8D, Ishikawa).

Background, skills and experience required for the Embedded Systems Engineer role:
* Experience in Tier 1 or OE sectors (both on-highway and off-highway) within system engineering or software development.
* Qualified to HND/Degree level in an electronics/software-based technology discipline or possess equivalent experience.
* Familiarity with requirements capturing tools (IBM DOORS).
* Knowledge of CAN bus protocols (CANOpen, J1939, ISO14229, ISO14230).
* Working knowledge of software development techniques (V Model, functional safety).
* Experience with V&V techniques (White, Grey, Black box testing).
* Proficiency in C programming and Matlab/Simulink development.
* Foundational knowledge of electronics and software development.
* Awareness of functional safety and security impacts.
* Experience in validation and verification activities.

Expleo is a trusted partner for end-to-end, integrated engineering, quality services and management consulting for digital transformation. We help businesses harness unrelenting technological change to successfully deliver innovations that will help them gain a competitive advantage and improve the everyday lives of people around the globe.

To meet with current legislation, right to work checks will be carried out to ensure candidates are able to work within the UK, unfortunately we are unable to provide sponsorship for this role.

Any application will be treated in a highly confidentiality manner and all conversations will be respected. For more information on the Embedded Systems Engineer role, please apply now!

JBRP1_UKTJ

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Jan 18, 2026

Careers Jobs

Machine Learning Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Are you considering a career change into machine learning in your 30s, 40s or 50s? You’re not alone. In the UK, organisations across industries such as finance, healthcare, retail, government & technology are investing in machine learning to improve decisions, automate processes & unlock new insights. But with all the hype, it can be hard to tell which roles are real job opportunities and which are just buzzwords. This article gives you a practical, UK-focused reality check: which machine learning roles truly exist, what skills employers really hire for, how long retraining realistically takes, how to position your experience and whether age matters in your favour or not. Whether you come from analytics, engineering, operations, research, compliance or business strategy, there is a credible route into machine learning if you approach it strategically.

Jan 13, 2026

Jobs

How to Write a Machine Learning Job Ad That Attracts the Right People

Machine learning now sits at the heart of many UK organisations, powering everything from recommendation engines and fraud detection to forecasting, automation and decision support. As adoption grows, so does demand for skilled machine learning professionals. Yet many employers struggle to attract the right candidates. Machine learning job adverts often generate high volumes of applications, but few applicants have the blend of modelling skill, engineering awareness and real-world experience the role actually requires. Meanwhile, strong machine learning engineers and scientists quietly avoid adverts that feel vague, inflated or confused. In most cases, the issue is not the talent market — it is the job advert itself. Machine learning professionals are analytical, technically rigorous and highly selective. A poorly written job ad signals unclear expectations and low ML maturity. A well-written one signals credibility, focus and a serious approach to applied machine learning. This guide explains how to write a machine learning job ad that attracts the right people, improves applicant quality and strengthens your employer brand.

Jan 6, 2026

Education Jobs

Maths for Machine Learning Jobs: The Only Topics You Actually Need (& How to Learn Them)

Machine learning job adverts in the UK love vague phrases like “strong maths” or “solid fundamentals”. That can make the whole field feel gatekept especially if you are a career changer or a student who has not touched maths since A level. Here is the practical truth. For most roles on MachineLearningJobs.co.uk such as Machine Learning Engineer, Applied Scientist, Data Scientist, NLP Engineer, Computer Vision Engineer or MLOps Engineer with modelling responsibilities the maths you actually use is concentrated in four areas: Linear algebra essentials (vectors, matrices, projections, PCA intuition) Probability & statistics (uncertainty, metrics, sampling, base rates) Calculus essentials (derivatives, chain rule, gradients, backprop intuition) Basic optimisation (loss functions, gradient descent, regularisation, tuning) If you can do those four things well you can build models, debug training, evaluate properly, explain trade-offs & sound credible in interviews. This guide gives you a clear scope plus a six-week learning plan, portfolio projects & resources so you can learn with momentum rather than drowning in theory.